Agent skill · Backend & API

molecular-targets-query

Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API. Auto-detects entity type from input string.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill molecular_targets --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/drugclaw/molecular_targets/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Molecular Targets Platform Query Skill Search the CCDI Molecular Targets Platform — an NCI-supported Open Targets instance focused on **preclinical pediatric oncology** data. Includes FDA Pediatric Molecular Target Lists and additional pediatric cancer datasets. ## Entity Auto-Detection | Input Pattern | Detected As | Query Used | |---|---|---| | `ENSG00000141510` | Target (Ensembl gene) | `target(ensemblId)` | | `EFO_\d+`, `MONDO_\d+`, `Orphanet_\d+`, `HP_\d+`, `DOID_\d+` | Disease / Phenotype | `disease(efoId)` | | `CHEMBL\d+` | Drug / molecule | `drug(chemblId)` | | anything else | Free text | `search(queryString)` | ## API | Function | Input | Returns | |---|---|---| | `search(entity, size=10)` | single entity string | `dict` (GraphQL data) or `None` | | `search_batch(entities)` | list of strings | `dict[str, dict\|None]` — uses batch GraphQL where possible | | `get_associations(entity, size=10)` | Ensembl ID or EFO/MONDO ID | associated diseases (for target) or targets (for disease) | | `summarize(data, entity)` | result dict + label | compact LLM-readable text | | `to_json(data)` | result dict | `list[dict]` for pipeline output | ### Helper | Function | Purpose | |---|---|

What's inside
Steps it walks through
  1. Entity Auto-Detection
  2. API
  3. Helper
  4. Usage
  5. Data Source
  6. Notes
Ships with 4 files
  • __init__.py
  • example.py
  • molecular_targets_skill.py
  • retrieve.py
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About this skill
What does the molecular-targets-query skill do?

Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API. Auto-detects entity type from input string.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill molecular_targets --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going